TY - GEN
T1 - On linear deterministic interference channels with partial feedback
AU - Le, Sy Quoc
AU - Tandon, Ravi
AU - Motani, Mehul
AU - Poor, H. Vincent
PY - 2012
Y1 - 2012
N2 - We consider the linear deterministic interference channel with partial feedback, in which a given number of the top most-significant-bits of the channel outputs of the receivers are fed back to the respective transmitters. The motivation for studying this channel is that it can approximate the Gaussian interference channel with noisy feedback, i.e., additive white Gaussian noise corrupted output feedback. We show that even when the feedback link is noisy, feedback still can help the system to have a larger sum-capacity by allowing users to cooperate and to manage interference better than the case without feedback. We also compare the partial feedback model to other models, including noiseless rate-limited feedback.
AB - We consider the linear deterministic interference channel with partial feedback, in which a given number of the top most-significant-bits of the channel outputs of the receivers are fed back to the respective transmitters. The motivation for studying this channel is that it can approximate the Gaussian interference channel with noisy feedback, i.e., additive white Gaussian noise corrupted output feedback. We show that even when the feedback link is noisy, feedback still can help the system to have a larger sum-capacity by allowing users to cooperate and to manage interference better than the case without feedback. We also compare the partial feedback model to other models, including noiseless rate-limited feedback.
UR - http://www.scopus.com/inward/record.url?scp=84860487241&partnerID=8YFLogxK
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U2 - 10.1109/ITA.2012.6181812
DO - 10.1109/ITA.2012.6181812
M3 - Conference contribution
AN - SCOPUS:84860487241
SN - 9781467314725
T3 - 2012 Information Theory and Applications Workshop, ITA 2012 - Conference Proceedings
SP - 131
EP - 136
BT - 2012 Information Theory and Applications Workshop, ITA 2012 - Conference Proceedings
T2 - 2012 Information Theory and Applications Workshop, ITA 2012
Y2 - 5 February 2012 through 10 February 2012
ER -